Python for Data Science AI & Development faq

instructor Instructor: Joseph Santarcangelo instructor-icon
duration Duration: duration-icon

This self-paced course provides an introduction to Python for data science, AI, and development. It is designed to help beginners gain the skills needed to use Python in their programming and data science projects, taught by an expert.

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Coursera

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

11th Jul, 2023

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [February 21st, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)

Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher.

This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs.

You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python.

This course is suitable for anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles.What can you get from this course?
We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
This course will provide learners with the skills and knowledge necessary to apply Python to a variety of tasks. Learners will gain an understanding of Python basics and data types, as well as data structures such as lists and tuples. They will also learn logic concepts such as conditions and branching, and use Python libraries such as Pandas, Numpy & Beautiful Soup. Through hands-on labs using Jupyter Notebooks, learners will practice and apply their knowledge to tasks such as data collection and web scraping with APIs. By the end of the course, learners will be comfortable creating basic programs, working with data, and automating real-world tasks using Python. This course is suitable for anyone interested in Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps, as well as a number of other job roles.

How does this course contribute to professional growth?
Python for Data Science AI & Development provides learners with the skills necessary to pursue a career in the ever-growing field of data science and AI. Through hands-on labs and expert instruction, learners will gain an understanding of Python basics and data types, as well as data structures such as lists and tuples. They will also learn logic concepts such as conditions and branching, and use Python libraries such as Pandas, Numpy & Beautiful Soup. By the end of the course, learners will be comfortable creating basic programs, working with data, and automating real-world tasks using Python. This course is suitable for anyone interested in Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps, and provides learners with the skills necessary to apply Python to a variety of tasks, such as machine learning, artificial intelligence, and automation. As such, this course contributes to professional growth by providing learners with the skills and knowledge necessary to pursue a career in the ever-growing field of data science and AI.

Is this course suitable for preparing further education?
Python for Data Science AI & Development is an ideal course for those looking to prepare for further education. It provides learners with an understanding of Python basics and data types, as well as data structures such as lists and tuples. Learners will also gain knowledge of logic concepts such as conditions and branching, and use Python libraries such as Pandas, Numpy & Beautiful Soup. Through hands-on labs using Jupyter Notebooks, learners will practice and apply their knowledge to tasks such as data collection and web scraping with APIs. By the end of the course, learners will be comfortable creating basic programs, working with data, and automating real-world tasks using Python. This course is suitable for anyone interested in Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps, as well as a number of other job roles. Learners will gain the skills necessary to apply Python to a variety of tasks, such as machine learning, artificial intelligence, and automation. With the knowledge gained from this course, learners will be well-equipped to pursue further education in the ever-growing field of data science and AI.

Course Provider

Provider Coursera's Stats at AZClass

Rating Grade: B This is a trending provider perfect for gaining traction and maybe a good option for users who are looking for a reliable source of learning content.

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faq FAQ for Artificial Intelligence Courses

Q1: What topics are covered in the Python for Data Science AI & Development course?

The Python for Data Science AI & Development course covers a wide range of topics related to Python programming, data science, artificial intelligence, machine learning, automation, and development. The course provides an introduction to the fundamentals of Python programming, data science, and AI, as well as more advanced topics such as machine learning, automation, and development.

Q2: What skills will I gain from taking the Python for Data Science AI & Development course?

By taking the Python for Data Science AI & Development course, you will gain a comprehensive understanding of Python programming, data science, artificial intelligence, machine learning, automation, and development. You will learn how to use Python to create data-driven applications, develop AI-based solutions, and automate processes. You will also gain an understanding of the fundamentals of machine learning and artificial intelligence.

Q3: Does the course offer certificates upon completion?

Yes, this course offers a free certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q4: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q5: Can I take this course for free?

Yes, this is a free course offered by Coursera, please click the "go to class" button to access more details.

Q6: How many people have enrolled in this course?

So far, a total of 0 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q7: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Coursera's official site.)
Find the course description and syllabus for detailed information.
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Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Coursera may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Artificial Intelligence courses and certifications, our extensive collection at azclass.net will help you.

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